Monotonous trend estimation using recursive prony analysis
Yang, Xilin, Garratt, Matt, & Pota, Hemanshu (2011) Monotonous trend estimation using recursive prony analysis. In Nesic, Dragan (Ed.) Proceedings of the 2011 Australian Control Conference, IEEE, University of Melbourne, Melbourne, Vic, pp. 321-326.
This paper presents a solution to the problem of estimating the monotonous tendency of a slow-varying oscillating system. A recursive Prony Analysis (PA) scheme is developed which involves obtaining a dynamic model with parameters identified by implementing the forgetting factor recursive least square (FFRLS) method. A box threshold principle is proposed to separate the dominant components, which results in an accurate estimation of the trend of oscillating systems. Performance of the proposed PA is evaluated using real-time measurements when random noise and vibration effects are present. Moreover, the proposed method is used to estimate monotonous tendency of deck displacement to assist in a safe landing of an unmanned aerial vehicle (UAV). It is shown that the proposed method can estimate instantaneous mean deck satisfactorily, making it well suited for integration into ship-UAV approach and landing guidance systems.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Accurate estimation, Forgetting factors, Landing guidance, Oscillating systems, Prony analysis|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)|
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation|
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||12 Jul 2012 08:26|
|Last Modified:||25 Jul 2012 11:34|
Repository Staff Only: item control page